Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life

Although codon usage bias has been shown to persist through non-random mutations and selection, many avenues of research into the applications of codon usage bias have remained unexplored. In this dissertation, we present several new applications of codon usage bias and their practical uses in a phy...

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Main Author: Miller, Justin B
Format: Others
Published: BYU ScholarsArchive 2018
Subjects:
Online Access:https://scholarsarchive.byu.edu/etd/7603
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8603&context=etd
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spelling ndltd-BGMYU2-oai-scholarsarchive.byu.edu-etd-86032021-09-12T05:01:38Z Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life Miller, Justin B Although codon usage bias has been shown to persist through non-random mutations and selection, many avenues of research into the applications of codon usage bias have remained unexplored. In this dissertation, we present several new applications of codon usage bias and their practical uses in a phylogenetic construct. We first review the literature and provide background into other software applications of codon usage bias in Chapter 1. In Chapter 2, we show that in tetrapods, codon aversion in orthologs is phylogenetically conserved. We further this analysis in Chapter 3 by exploring codon use and aversion across the Tree of Life, providing frameworks for other researchers to analyze different species subsets. We present a novel algorithm to recover species relationships using codon aversion, without regard to orthologous relationships in Chapter 4. We present several other algorithms in Chapter 5 to also recover species relationships using biases in codon pairing. Chapter 6 analyzes the relationship between codon usage bias in viruses that infect humans and proteins found in tissues that they infect. In Chapter 7, we present our discovery of a conservation in coding sequence lengths in orthologous genes that allowed us to accurately recover orthologous gene relationships and reduce overall ortholog identification runtime by over 96%. In Chapter 8 we discuss a novel algorithm for extracting a ramp of slowly-translated codons located at the beginning of gene sequences, allowing researchers to quickly identify translational bottlenecks. Finally, Chapter 9 touches on future applications of codon usage bias in phylogenetics. This dissertation represents a major vertical leap in phylogenetics by providing a framework and paradigm shift toward utilizing codon usage and coding sequence length biases in future analyses. 2018-11-01T07:00:00Z text application/pdf https://scholarsarchive.byu.edu/etd/7603 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8603&context=etd http://lib.byu.edu/about/copyright/ Theses and Dissertations BYU ScholarsArchive codon usage bias codon aversion codon pairing JustOrthologs ExtRamp phylogeny tree of life species relationships phylogenetic systematics Life Sciences
collection NDLTD
format Others
sources NDLTD
topic codon usage bias
codon aversion
codon pairing
JustOrthologs
ExtRamp
phylogeny
tree of life
species relationships
phylogenetic systematics
Life Sciences
spellingShingle codon usage bias
codon aversion
codon pairing
JustOrthologs
ExtRamp
phylogeny
tree of life
species relationships
phylogenetic systematics
Life Sciences
Miller, Justin B
Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life
description Although codon usage bias has been shown to persist through non-random mutations and selection, many avenues of research into the applications of codon usage bias have remained unexplored. In this dissertation, we present several new applications of codon usage bias and their practical uses in a phylogenetic construct. We first review the literature and provide background into other software applications of codon usage bias in Chapter 1. In Chapter 2, we show that in tetrapods, codon aversion in orthologs is phylogenetically conserved. We further this analysis in Chapter 3 by exploring codon use and aversion across the Tree of Life, providing frameworks for other researchers to analyze different species subsets. We present a novel algorithm to recover species relationships using codon aversion, without regard to orthologous relationships in Chapter 4. We present several other algorithms in Chapter 5 to also recover species relationships using biases in codon pairing. Chapter 6 analyzes the relationship between codon usage bias in viruses that infect humans and proteins found in tissues that they infect. In Chapter 7, we present our discovery of a conservation in coding sequence lengths in orthologous genes that allowed us to accurately recover orthologous gene relationships and reduce overall ortholog identification runtime by over 96%. In Chapter 8 we discuss a novel algorithm for extracting a ramp of slowly-translated codons located at the beginning of gene sequences, allowing researchers to quickly identify translational bottlenecks. Finally, Chapter 9 touches on future applications of codon usage bias in phylogenetics. This dissertation represents a major vertical leap in phylogenetics by providing a framework and paradigm shift toward utilizing codon usage and coding sequence length biases in future analyses.
author Miller, Justin B
author_facet Miller, Justin B
author_sort Miller, Justin B
title Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life
title_short Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life
title_full Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life
title_fullStr Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life
title_full_unstemmed Analyzing Codon Usage and Coding Sequence Length Biases Across the Tree of Life
title_sort analyzing codon usage and coding sequence length biases across the tree of life
publisher BYU ScholarsArchive
publishDate 2018
url https://scholarsarchive.byu.edu/etd/7603
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8603&context=etd
work_keys_str_mv AT millerjustinb analyzingcodonusageandcodingsequencelengthbiasesacrossthetreeoflife
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